Microgrid

Energy Management Software for standalone & grid-tied renewable microgrids.

Context

In Poor/Bad Grid configurations, C&I Buildings can be equiped by local solar + storage systems in order to assure a reliable energy supply and reduce their energy costs.

 

Benefits

Owners of Solar + Storage assets whether they are utilities, independant power producers or energy companies use the Energy OS in order to :

1. Maximise their return on investment by optimizing their OPEX

2. Monitor in real-time their assets and track their performances.

The Energy OS allows monitoring & control of Solar + Storage systems available on the market today. 

 

Solution

The Energy OS optimally controls the charge/discharge of batteries in order to reduce site energy costs by leveraging following services :

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Peak-shaving

Discharging the batteries at the right time helps the industrial to reduce their maximum power subscription and avoir utility fees.

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Load-Shifting

Charging the battery at off-peak hours to discharge it at peak-hours and reduce energy costs.

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Power security

The Energy OS is able to avoid this issue by discharging immediatly after the powercut.

Context

For an isolated site from the electric grid powered by diesel generators, it can now be equipped with a solar + storage system in order to: 

1. Reduce fuel consumption

2. Reduce generator cycles and usage

3. Produce renewable energy

Benefits

The owners of these assets whether they are utilities, independant power producers or energy companies use the Energy OS for :

1. Maximize the ROI of their assets by reducing the OPEX

2. Monitor them in real-time and track their performances. 

The Energy OS allows the control of leading Solar +Storage equipements available in the market.

 

Solution

The Energy OS allows the real-time control of the battery charge and on/off genset in order to reduce the site energy cost by leveraging services such as :

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Renewable Integration

Anticipating solar production peaks allows a greater system efficiency

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Idling-time optimisation

We use forecasts to reduce fuel consumption by controlling on/off switches of gensets.

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On/Off optimisation

We reduce significantly (by 50%) genset on/off cycles and therefore reduce maintenance costs

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